Best AI for writing: draft with one model, edit with another

What works better than picking one winner

People often ask which AI writes best. The answer changes with the genre, the draft you start from and what you ask for, and models change often. We have not run a controlled writing benchmark, so we will not crown one. What does hold up in practice is separating the stages of writing and giving each stage to whichever model serves it best for you. Outline: get structure and an argument map from a model that lays things out clearly. Draft: write the first version with a model you find easy to steer. Critique: ask a different model to find the weak paragraphs, vague claims and repetition. Edit: rewrite for tone, length and audience, then read it aloud yourself. Check: verify facts, quotes and numbers against real sources. In a one-vendor app, those stages all use that vendor's models. In Quad they can use different models in the same conversation, with your draft kept in context.

Model classes to try, from the catalog

Roles are suggestions to test on your own text. Plans and context windows are read from the live catalog. GPT-6 Luna (Role to try: Free, fast outlines and first drafts; Available on: Every plan, Free included; Context window: 1.05M; Catalog flags: tool calling, reasoning, image input). Claude Haiku 5.5 (Role to try: Free, quick rewrites and tone changes; Available on: Every plan, Free included; Context window: 1M; Catalog flags: tool calling, reasoning, image input). Claude Sonnet 5.5 (Role to try: Long-form drafting and line edits; Available on: Pro plan and up; Context window: 1M; Catalog flags: tool calling, reasoning, image input). GPT-6 Sol (Role to try: Structured drafts and second opinions; Available on: Pro plan and up; Context window: 1.05M; Catalog flags: tool calling, reasoning, image input). Gemini 3.1 Pro (Role to try: Long source material and summaries; Available on: Pro plan and up; Context window: 1M; Catalog flags: tool calling, reasoning, image input). Claude Opus 5.5 (Role to try: Final polish on high-stakes pieces; Available on: Ultra plan and up; Context window: 1M; Catalog flags: tool calling, reasoning, image input). Every model above also supports reasoning, tool calling and image input, so you can paste a screenshot of a layout or a chart and ask for copy to match. Free includes 100 credits a month. Cheaper models spend fewer credits per message, so use the small models for loose brainstorming and save the premium ones for the pass that matters.

A two-model workflow you can copy

Start with GPT-6 Luna or GPT-6 Sol: give it the audience, the point you need to make and your raw notes, and ask for an outline with the assumptions listed. Write the draft in Claude Sonnet 5.5, or whichever model's phrasing you prefer. Paste in a paragraph of your own writing and ask it to match that voice. Open a second model and ask it to critique the draft as a skeptical editor: what is vague, unsupported or repeated, with specific line references. Return to the first model with the critique and ask for a revision that keeps your voice. Compare the two versions and keep the better sentences from each. Turn on web search for any factual claim, and open the citations to confirm the source says what the model says it does. For repeated work, keep standing instructions in Quad's memory document: your audience, preferred style, words you never use. Every chat reads it as context, so you stop retyping the same brief.

Documents that live beside the chat

When you ask Quad for a report, a one-pager or a longer piece, it creates a document that opens next to the chat. You and the model can both edit it, you can leave comments that the model works into the next revision, and earlier versions can be restored if a rewrite goes wrong. When it is ready, download it as Word (.docx), PDF or Markdown. A finished draft can also become a presentation or a designed one-pager from the same conversation. The documents feature is Quad's own editor. It is built for drafting and review, not for the full formatting and collaboration depth of a dedicated word processor, so plan to do final layout in the tool your publisher or employer requires.

Limits worth knowing

AI text can be bland or wrong. Treat it as a draft partner, and rewrite until it sounds like you. Models can invent quotes, statistics and citations. Open every source before you publish it. Some schools, publishers and employers restrict AI-assisted writing. Follow the rules that apply to you and disclose use where required. Quad does not use your conversations or files to train its own models, but you should still keep unpublished client material out of any tool your contract does not allow.

Frequently asked questions

What is the best AI for writing?

There is no single best one, and we have not run a benchmark. Many writers get better results by drafting with one model and critiquing with another. Quad offers GPT, Claude, Gemini and the rest of 70+ models in one app, so you can test which combination suits your voice.

Is ChatGPT or Claude better for writing?

It depends on the task and your taste, and versions change often. The quickest way to find out is to give both the same brief and compare. In Quad you can send one prompt to several models and read the answers side by side.

Can I write documents inside Quad?

Yes. Ask for a report or one-pager and Quad creates a document beside the chat. You and Quad can both edit it, leave comments, restore earlier versions and download it as Word (.docx), PDF or Markdown.

Is there a free AI writing tool in Quad?

Yes. The Free plan needs no credit card and includes 100 credits a month with core models including GPT-6 Luna and Claude Haiku 5.5. Premium models such as Claude Sonnet 5.5 start on the Pro plan.

Will Quad use my writing to train AI models?

No. Quad does not use your conversations or files to train its own models, on any plan. You can export or delete your chats yourself.

How do I stop AI from making up sources?

Turn on web search so claims come with citations you can open, then check each source yourself. Models can still misread a page, so treat citations as a starting point for verification rather than proof.